让机器翻译更懂人，从用户实际需求出发设计系统。
An Interdisciplinary Approach to Human-Centered Machine Translation
- 结合翻译学与人机交互，重新定义MT设计逻辑。
- 强调不同使用场景下译文可靠性评估的重要性。
- 适合关注用户体验的MT研发与评测人员。
机器翻译工具如今广泛应用，常用于缺乏专业译者的情境。尽管MT技术不断进步，系统开发与实际应用之间仍存在鸿沟，尤其对非专业用户而言，难以判断翻译质量是否可靠。本文倡导以人类为中心的MT方法，强调系统设计需契合多样化的沟通目标和使用场景。通过梳理翻译学与人机交互领域的文献，重新构建适用于当前多样化真实应用场景的MT评估与设计范式。
原文摘要 · Abstract (English)
Machine Translation (MT) tools are widely used today, often in contexts where professional translators are not present. Despite progress in MT technology, a gap persists between system development and real-world usage, particularly for non-expert users who may struggle to assess translation reliability. This paper advocates for a human-centered approach to MT, emphasizing the alignment of system design with diverse communicative goals and contexts of use. We survey the literature in Translation Studies and Human-Computer Interaction to recontextualize MT evaluation and design to address the diverse real-world scenarios in which MT is used today.
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